Controlling the robot using the brain signals

Genci Capi*, Toshihide Takahashi, Kazunori Urushiyama, Shigenori Kawahara

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The goal of this work is to create a part mechanical, part biological robot that operates on the basis of the neural activity of rat brain cells. In our method, first the rat learns to move the robot by pressing the right and left lever in order to get food. Then, we utilize the data of multi-electrode recordings to train artificial neural networks, which are later employed to control the robot motion based on the brain activity of rats. The results show a good performance of artificial neural network controlling the real robot.

Original languageEnglish
Title of host publicationRO-MAN 2009 - 18th IEEE International Symposium on Robot and Human Interactive
Pages781-785
Number of pages5
DOIs
StatePublished - 2009
Event18th IEEE International Symposium on Robot and Human Interactive, RO-MAN 2009 - Toyama, Japan
Duration: 2009/09/272009/10/02

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Conference

Conference18th IEEE International Symposium on Robot and Human Interactive, RO-MAN 2009
Country/TerritoryJapan
CityToyama
Period2009/09/272009/10/02

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

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